Mellor, J. P., (co-supervised with S. Teller) Reconstructing Built Geometry from Large Sets of Calibrated Images, October 1999.
Wang, Cheuk-san Edward, Determinig Molecular Conformation from Distance or Density Data, December 1999.
Chou, George (co-supervised with S. Teller), Large-Scale 3D Reconstruction: A Triangulation-Based Approach, September 2000.
Mitra, Robi (co-supervised with G. Church), Polony Sequencing: a DNA Sequencing Technology and A Computationall Analysis Reveals Chromosomal Domains of Gene Expression, September 2000.
Eng, Tony, De-Novo Peptide Sequencing from MALDI-TOF Ppst-Source-Decay Spectra, January 2001.
Tucker-Kellogg, Lisa, Systematic Conformational Search with Constraint Satisfaction, May 2002.
Chiu, Han-Pang, (co-supervised with L. Kaelbling) Transfer Learning for Multi-View Object Class Recognition, January 2008.
Hong, Eunjong, Rotamer Optimization for Protein Design through MAP Estimation and Problem-Size Reduction, June 2008
Finney, Sarah, (co-supervised with L. Kaelbling) On Learning Task-Directed Motion Plans, February 2009.
Hsiao, Kaijen, (co-supervised with L. Kaelbling) Relatively Robust Grasping, September 2009.
Lippow, Margaret Aycinena, (co-supervised with L. Kaelbling) Weighted Geometric Grammars for Object Detection in Context, June 2010.
Temizer, Selim, (co-supervised with L. Kaelbling) Planning under Uncertainty for Dynamic Collision Avoidance, January 2011.
Barry, Jennifer, (co-supervised with L. Kaelbling) Manipulation with Diverse Actions, June 2013.
Macindoe, Owen, (co-supervised with L. Kaelbling) Sidekick Agents for Sequential Planning Problems, August 2013.
Glover, Jared, (co-supervised with L. Kaelbling) The Quaternion Bingham Distribution, 3D Object Detection, and Dynamic Manipulation, June 2014.
Davies, Sam, (co-supervised with L. Kaelbling) 3D Model-Based Pose Estimation of Rigid Objects From A Single Image For Robotics, June 2015.
Barragan, Patrick, (co-supervised with L. Kaelbling) Interactive Bayesian Identification of Kinematic Mechanisms, June 2015.
Wong, Lawson L. S., (co-supervised with L. Kaelbling) Learning the State of the World: Object-based World Modeling for Mobile-Manipulation Robots, February 2016.
Deshpande, Ashwin, (co-supervised with L. Kaelbling) Exact Geometry Algorithms for Robotic Motion Planning, June 2019
Anders, Ariel, (co-supervised with L. Kaelbling) Reliably arranging objects: a conformant planning approach to robot manipulation, June 2019
Wang, Zi, (co-supervised with L. Kaelbling), Robot Learning with Strong Priors, January 2020
Kim, Beomjoon, (co-supervised with L. Kaelbling), Learning to Guide Task and Motion Planning, June 2020
Garrett, Caelan, (co-supervised with L. Kaelbling), Sampling-Based Task and Motion Planning for Robots in the Real World, August 2021
Goretkin, Gustavo, (co-supervised with L. Kaelbling), Visibility-Aware Motion Planning, January 2022
Gehring, Clement, (co-supervised with L. Kaelbling), Efficient reinforcement learning via singular value decomposition, end-to-end model-based methods and reward shaping, June 2022
Moses, Caris, (co-supervised with L. Kaelbling), Optimistic Active Learning of Task and Action Models for Robotic Manipulation, June 2022
Chitnis, Rohan (co-supervised with L. Kaelbling), Learning State and Action Abstractions for Effective and Efficient Planning, June 2022
Alet, Ferran (co-supervised with L. Kaelbling), Learning Inside the Prediction Function, August 2022
Holladay, Rachel (co-supervised with A. Rodriguez), Leveraging Mechanics for Multi-step Robotic Manipulation Planning, August 2024
Du, Yilun (co-supervised with L. Kaelbling and J. Tenenbaum), Learning Generalizable Systems by Learning Composable Energy Landscapes, August 2024
Curtis, Aidan (co-supervised with L. Kaelbling and J. Tenenbaum), Generalizable Long-Horizon Robotic Manipulation under Uncertainty and Partial Observability, May 2025
Yang, Zhutian (co-supervised with L. Kaelbling), Learning to Solve Long-Horizon Robot Manipulation Problems, May 2025
Fang, Xiaolin (co-supervised with L. Kaelbling), Generalizable Robot Manipulation through Unified Perception, Policy Learning, and Planning, May 2025
McClinton, Willie (co-supervised with L. Kaelbling), From Demonstrations to Operators: Incrementally Learning Compositional Abstract Models for Bilevel Planning, May 2026
Kumar, Nishanth (co-supervised with L. Kaelbling), Towards Generalist Robots via Integrated Planning and Learning with Foundation Models, May 2026
Chintalapudi, Sahit (co-supervised with L. Kaelbling), Geometric Belief Space Planning, September 2026
Shen, William (co-supervised with L. Kaelbling), Integrated Planning and Perception for Robotics, September 2026
